AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
About
This learning way is intended for people who need to approve their progressed organizing specialized aptitudes and involvement with planning and actualizing AWS and half breed IT arrange designs at scale. Figure out how your system impacts framework execution, security, accessibility, and incorporation with AWS administrations. At that point get AWS Certified to approve the aptitudes you’ve learned.
Learning Path
Abilities Validated by the Certification
- Design, develop, and deploy cloud-based solutions using AWS
- Implement core AWS services according to basic architecture best practices
- Design and maintain network architecture for all AWS services
- Leverage tools to automate AWS networking tasks
Recommended Knowledge and Experience
We recommend candidates hold an AWS Certified Cloud Practitioner or a current Associate-level certification: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate or AWS Certified SysOps Administrator – Associate
Advanced knowledge of AWS networking concepts and technologies
Minimum five years hands-on experience architecting and implementing network solutions
Advanced networking architectures and interconnectivity options (e.g., IP VPN, MPLS/VPLS)
Networking technologies within the OSI model, and how they affect implementation decisions
Development of automation scripts and tools
CIDR and sub-netting (IPv4 and IPv6)
IPv6 transition challenges
Generic solutions for network security features, including WAF, IDS, IPS, DDoS protection, and Economic Denial of Service/Sustainability (EDoS)
AWS Advanced Networking – Specialty Certification Preparation
This learning path covers the six major domains necessary to help you get to grips with advanced networking.
Design and implement hybrid IT network architectures at scale
- VPC Subnets
- VPC CIDR Blocks – The effect of subnetting your VPC CIDR Block
- VPC Subnets – Public & Private Subnets
- VPC Peering: Subnet Considerations – considerations when architecting your subnets in different VPC Peering configurations
- Flow Logs: VPC Subnets
- VPC Routing – Routing Fundamentals & Route Tables
- Routing Priorities
- Routing: VPC Peering – Routing: VPN Connection via a Virtual Private Gateway
- Routing: Internet Gateways & NAT Gateways
- Routing: VPC Endpoints – This lecture looks at the automatic routing configuration when creating a VPC Endpoint
- VPC IPsec VPNs. We explain the IPsec security protocol, highlighting key components – providing explanations of what it is and why and where it is useful
Design and implement AWS networks
- OSI and TCP/IP networking models. We ensure you have an understanding of both models, useful for learning, architecting, and/or operating large scale networks. To start with, we will review the Open System Interconnection model, which is a 7 layer reference model used to aid both learning, building, and troubleshooting of networks. Next, we will review the TCP/IP model, a more simplified 4 layer model that is used in the implementation of real-world networks such as the Internet and/or private networks such as corporate LANs.
- Jumbo Frames We provide a detailed overview of Ethernet frames and how and what effect Jumbo Frames have when configured. Jumbo frames allow more than 1500 bytes of data by increasing the payload size per packet. We will review use cases and scenarios where Jumbo Frames are useful. We create a complete working demonstration – configuring a Jumbo Frame enabled network between 2 VPCs. We deploy an EC2 instance within each VPC, each instance will be configured with a pair of ENIs. We will establish policy-based routing such that we end up with 2 network paths between the instances – the 1st network path will have a 1500 MTU – utilizing ethernet standard frames, and the second network path will have a 9000 MTU – utilizing Ethernet jumbo frames.
Automate AWS tasks
we examine and explore automation use cases including security and environment monitoring.
- We evaluate automation alternatives within AWS for network deployments
- Evaluate tool-based alternatives within AWS for network operations and management
Configure network integration with application services
- Evaluate DNS solutions in a hybrid IT architecture
- Leverage the capabilities of Route 53
- Determine the appropriate configuration of DHCP within AWS
- Determine a content-distribution strategy to optimize for performance using Amazon CloudFront
Design and implement for security and compliance
- Evaluate design requirements for alignment with security and compliance objectives.
- Evaluate monitoring strategies in support of security and compliance objectives
Manage, optimize, and troubleshoot the network
- We explore the tools and steps you can implement to troubleshoot and resolve network issues using hands-on labs and a preparation exam.
Prepare for Your Exam
There is no better preparation than hands-on experience. There are many relevant AWS Training courses and other resources to assist you with acquiring additional knowledge and skills to prepare for certification. Please review the exam guide for information about the competencies assessed on the certification exam.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Ethical Hacking Certification Training Course | with KALI LINUX
Data Sciences Specialization Course
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
AWS Cloud Developer Training – Exam 4504
About
This learning way is intended for people who need to approve their progressed organizing specialized aptitudes and involvement with planning and actualizing AWS and half breed IT arrange designs at scale. Figure out how your system impacts framework execution, security, accessibility, and incorporation with AWS administrations. At that point get AWS Certified to approve the aptitudes you’ve learned.
Learning Path
Abilities Validated by the Certification
- Design, develop, and deploy cloud-based solutions using AWS
- Implement core AWS services according to basic architecture best practices
- Design and maintain network architecture for all AWS services
- Leverage tools to automate AWS networking tasks
Recommended Knowledge and Experience
We recommend candidates hold an AWS Certified Cloud Practitioner or a current Associate-level certification: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate or AWS Certified SysOps Administrator – Associate
Advanced knowledge of AWS networking concepts and technologies
Minimum five years hands-on experience architecting and implementing network solutions
Advanced networking architectures and interconnectivity options (e.g., IP VPN, MPLS/VPLS)
Networking technologies within the OSI model, and how they affect implementation decisions
Development of automation scripts and tools
CIDR and sub-netting (IPv4 and IPv6)
IPv6 transition challenges
Generic solutions for network security features, including WAF, IDS, IPS, DDoS protection, and Economic Denial of Service/Sustainability (EDoS)
AWS Advanced Networking – Specialty Certification Preparation
This learning path covers the six major domains necessary to help you get to grips with advanced networking.
Design and implement hybrid IT network architectures at scale
- VPC Subnets
- VPC CIDR Blocks – The effect of subnetting your VPC CIDR Block
- VPC Subnets – Public & Private Subnets
- VPC Peering: Subnet Considerations – considerations when architecting your subnets in different VPC Peering configurations
- Flow Logs: VPC Subnets
- VPC Routing – Routing Fundamentals & Route Tables
- Routing Priorities
- Routing: VPC Peering – Routing: VPN Connection via a Virtual Private Gateway
- Routing: Internet Gateways & NAT Gateways
- Routing: VPC Endpoints – This lecture looks at the automatic routing configuration when creating a VPC Endpoint
- VPC IPsec VPNs. We explain the IPsec security protocol, highlighting key components – providing explanations of what it is and why and where it is useful
Design and implement AWS networks
- OSI and TCP/IP networking models. We ensure you have an understanding of both models, useful for learning, architecting, and/or operating large scale networks. To start with, we will review the Open System Interconnection model, which is a 7 layer reference model used to aid both learning, building, and troubleshooting of networks. Next, we will review the TCP/IP model, a more simplified 4 layer model that is used in the implementation of real-world networks such as the Internet and/or private networks such as corporate LANs.
- Jumbo Frames We provide a detailed overview of Ethernet frames and how and what effect Jumbo Frames have when configured. Jumbo frames allow more than 1500 bytes of data by increasing the payload size per packet. We will review use cases and scenarios where Jumbo Frames are useful. We create a complete working demonstration – configuring a Jumbo Frame enabled network between 2 VPCs. We deploy an EC2 instance within each VPC, each instance will be configured with a pair of ENIs. We will establish policy-based routing such that we end up with 2 network paths between the instances – the 1st network path will have a 1500 MTU – utilizing ethernet standard frames, and the second network path will have a 9000 MTU – utilizing Ethernet jumbo frames.
Automate AWS tasks
we examine and explore automation use cases including security and environment monitoring.
- We evaluate automation alternatives within AWS for network deployments
- Evaluate tool-based alternatives within AWS for network operations and management
Configure network integration with application services
- Evaluate DNS solutions in a hybrid IT architecture
- Leverage the capabilities of Route 53
- Determine the appropriate configuration of DHCP within AWS
- Determine a content-distribution strategy to optimize for performance using Amazon CloudFront
Design and implement for security and compliance
- Evaluate design requirements for alignment with security and compliance objectives.
- Evaluate monitoring strategies in support of security and compliance objectives
Manage, optimize, and troubleshoot the network
- We explore the tools and steps you can implement to troubleshoot and resolve network issues using hands-on labs and a preparation exam.
Prepare for Your Exam
There is no better preparation than hands-on experience. There are many relevant AWS Training courses and other resources to assist you with acquiring additional knowledge and skills to prepare for certification. Please review the exam guide for information about the competencies assessed on the certification exam.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Ethical Hacking Certification Training Course | with KALI LINUX
Data Sciences Specialization Course
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
AWS Cloud Developer Training – Exam 4504
AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
About
This learning way is intended for people who need to approve their progressed organizing specialized aptitudes and involvement with planning and actualizing AWS and half breed IT arrange designs at scale. Figure out how your system impacts framework execution, security, accessibility, and incorporation with AWS administrations. At that point get AWS Certified to approve the aptitudes you’ve learned.
Learning Path
Abilities Validated by the Certification
- Design, develop, and deploy cloud-based solutions using AWS
- Implement core AWS services according to basic architecture best practices
- Design and maintain network architecture for all AWS services
- Leverage tools to automate AWS networking tasks
Recommended Knowledge and Experience
We recommend candidates hold an AWS Certified Cloud Practitioner or a current Associate-level certification: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate or AWS Certified SysOps Administrator – Associate
Advanced knowledge of AWS networking concepts and technologies
Minimum five years hands-on experience architecting and implementing network solutions
Advanced networking architectures and interconnectivity options (e.g., IP VPN, MPLS/VPLS)
Networking technologies within the OSI model, and how they affect implementation decisions
Development of automation scripts and tools
CIDR and sub-netting (IPv4 and IPv6)
IPv6 transition challenges
Generic solutions for network security features, including WAF, IDS, IPS, DDoS protection, and Economic Denial of Service/Sustainability (EDoS)
AWS Advanced Networking – Specialty Certification Preparation
This learning path covers the six major domains necessary to help you get to grips with advanced networking.
Design and implement hybrid IT network architectures at scale
- VPC Subnets
- VPC CIDR Blocks – The effect of subnetting your VPC CIDR Block
- VPC Subnets – Public & Private Subnets
- VPC Peering: Subnet Considerations – considerations when architecting your subnets in different VPC Peering configurations
- Flow Logs: VPC Subnets
- VPC Routing – Routing Fundamentals & Route Tables
- Routing Priorities
- Routing: VPC Peering – Routing: VPN Connection via a Virtual Private Gateway
- Routing: Internet Gateways & NAT Gateways
- Routing: VPC Endpoints – This lecture looks at the automatic routing configuration when creating a VPC Endpoint
- VPC IPsec VPNs. We explain the IPsec security protocol, highlighting key components – providing explanations of what it is and why and where it is useful
Design and implement AWS networks
- OSI and TCP/IP networking models. We ensure you have an understanding of both models, useful for learning, architecting, and/or operating large scale networks. To start with, we will review the Open System Interconnection model, which is a 7 layer reference model used to aid both learning, building, and troubleshooting of networks. Next, we will review the TCP/IP model, a more simplified 4 layer model that is used in the implementation of real-world networks such as the Internet and/or private networks such as corporate LANs.
- Jumbo Frames We provide a detailed overview of Ethernet frames and how and what effect Jumbo Frames have when configured. Jumbo frames allow more than 1500 bytes of data by increasing the payload size per packet. We will review use cases and scenarios where Jumbo Frames are useful. We create a complete working demonstration – configuring a Jumbo Frame enabled network between 2 VPCs. We deploy an EC2 instance within each VPC, each instance will be configured with a pair of ENIs. We will establish policy-based routing such that we end up with 2 network paths between the instances – the 1st network path will have a 1500 MTU – utilizing ethernet standard frames, and the second network path will have a 9000 MTU – utilizing Ethernet jumbo frames.
Automate AWS tasks
we examine and explore automation use cases including security and environment monitoring.
- We evaluate automation alternatives within AWS for network deployments
- Evaluate tool-based alternatives within AWS for network operations and management
Configure network integration with application services
- Evaluate DNS solutions in a hybrid IT architecture
- Leverage the capabilities of Route 53
- Determine the appropriate configuration of DHCP within AWS
- Determine a content-distribution strategy to optimize for performance using Amazon CloudFront
Design and implement for security and compliance
- Evaluate design requirements for alignment with security and compliance objectives.
- Evaluate monitoring strategies in support of security and compliance objectives
Manage, optimize, and troubleshoot the network
- We explore the tools and steps you can implement to troubleshoot and resolve network issues using hands-on labs and a preparation exam.
Prepare for Your Exam
There is no better preparation than hands-on experience. There are many relevant AWS Training courses and other resources to assist you with acquiring additional knowledge and skills to prepare for certification. Please review the exam guide for information about the competencies assessed on the certification exam.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Ethical Hacking Certification Training Course | with KALI LINUX
Data Sciences Specialization Course
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
AWS Cloud Developer Training – Exam 4504
AWS Certified Advance Networking Speciality
With more and more organizations moving to Cloud-based infrastructure, one of the demanding requirements is to find skilled networking engineers who can handle the networking aspect in AWS and hybrid deployments. Due to this reason, AWS has officially released the AWS Certified Advanced Networking certification.
This certification is intended for individuals who perform complex networking tasks.
This course is specifically designed for the aspirants who intend to give the “AWS Certified Advanced Networking – Specialty” certification as well as for individuals who intend to gain a deeper understanding related to the networking aspects of AWS.
Keeping the standards high similar to other best-seller courses of Zeal, this course has a perfect balance between theory and practical, and the topics are explained in a simplified way for everyone to understand.
Since this is an “Advanced Specialty” level certification, there are certain important pre-requisites that are expected from the candidates. The primary ones include basic hands-on experience on AWS and strong prior networking knowledge.
Course Key Learnings
-
Will be prepared to give the AWS Certified Advanced Networking – Specialty certification.
-
Implement IPSec tunnels as part of Hybrid Infrastructure
-
Understand and Implement various complex AWS networking architectures
Course Outline
- Introduction
- AWS Global Infrastructure
- VPC Basic Networking Design
- Demo: Default VPC
- Subnets, VPC Routers, and Route Tables Part 1
- Subnets, VPC Routers, and Route Tables Part 1
- Demo: Subnets, VPC Routers, and Route Tables
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 1
- Elastic Network Interface, Elastic IP, and Internet Gateway Part 2
- Introduction
- Domain Name System
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Hosted Zonesand Zone Records – Part 1
- Route 53 Demo: Hosted Zones and Zone Records
- Route 53 Subdomain Delegation
- Route 53 Demo: Subdomain Delegation
- Route 53 Routing Policies Part 1
- Introduction
- Virtual Private Gateway
- AWS Hybrid Route Learning
- Border Gateway Protocol (BGP)
- BGP Prefix Preference – Part 1
- BGP Prefix Preference – Part 2
- BGP Prefix Preference – Part 3
- VPN and IPSec Overview
- Customer Gateways
- AWS Site-to-Site VPN Configuration
- Introduction
- Direct Connect Locations & Hardware
- DX Connections
- Demo: DX Connections
- Virtual Interfaces (VIFs)
- Demo: Virtual Interfaces
- Virtual LANs (VLAN)
- Virtual Interfaces & BGP
- Link Aggregation Groups (LAGs)
- Demo: Link Aggregation Groups
- Direct Connect Gateway
- Demo: DX Gateway
- Well-Architected Direct Connect
- Hybrid DNS
- Introduction
- Inter-VPC Connectivity
- Transit VPCs and Hybrid Connectivity
- Transit Gateway Configuration
- Transit Gateway Routing
- Network Size Limit
- Demo: Transit Gateway Part 1
- Demo: Transit Gateway Part 2
- Introduction
- Traffic Control
- Demo: Web Application Firewall
- Traffic Protection
- Demo: AWS Certificate Manager
- Traffic Awareness
- Demo: AWS Guard Duty & AWS Inspector
- Governance & Compliance
- Introduction
- Infrastructure as Code
Requirements
-
AWS Certified Solutions Architect – Associate or Equivalent Knowledge
-
Basic knowledge of networking concepts will be helpful.
Who this course is for:
- Those who are interested in gaining the “AWS Certified Advanced Networking – Specialty” certification.
- Those intending to gain deep insights into networking aspects of AWS
Your FREE eLEARNING Courses (Click Here)
International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
Job Interview Questions
AWS Cloud Architect Job Interview Questions and Answers
Microsoft Azure Interview Questions and Answers
Microsoft Share Point Job Interview Questions and Answers
Oracle Integration Cloud Services (ICS) Job Interview Questions
Related Courses
AWS Training – AWS Certified Associate + Professional (2 in 1)
Microsoft Azure Administrator – Associate
Certified Ethical Hacking (CEH) Course
Docker Training (DevOps) with Kubernetes and Swarm
Red Hat Linux Certified System Administrator (RHCSA) Exam (EX200)
Google Cloud Certified Professional Cloud Architect
KEY FEATURES
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Recommended Training
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Recommended Training
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you’ve learned with optional training.
Learn more about the courses in each learning progression below.
Learning Path
Machine learning solutions in AWS Marketplace
Improve information experimentation, arrive at more profound experiences, and increment profitability and proficiency with AI (ML) arrangements in AWS Marketplace.Seller arrangements in AWS Marketplace, alongside Amazon Machine Learning administrations, can assist you with rearranging information experimentation, define further bits of knowledge from dissimilar sources over your information home, and cultivate new degrees of profitability and effectiveness for a boundless number of utilization cases. AWS Marketplace is an advanced inventory with a great many postings from free programming merchants that empowers you to discover, test, purchase, and send programming that sudden spikes in demand for AWS.
Algorithms & models
Discover and procure algorithms and model packages from AWS Marketplace, and quickly deploy them in just a few clicks on Amazon SageMaker. You can choose from free, free-trial, and paid algorithms and model packages and assess the quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker through a Jupyter Notebook, SageMaker SDK, or AWS CLI. This experience is powered by the AWS Marketplace catalog and APIs so you get all of the same benefits as other products in AWS Marketplace, such as seamless deployment and consolidated billing.
Related Courses – Learn Online Now
AWS Cloud Developer Training – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Recommended Trainings
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Recommended Trainings
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
About
Start Training on Machine Learning with AWS
Plunge profound into a similar AI (ML) educational program used to prepare Amazon’s designers and information researchers. We offer 65+ ML instructional classes totaling 50+ hours, in addition to hands-on labs and documentation, initially produced for Amazon’s inside use. Designers, information researchers, information stage specialists, and business chiefs can utilize this preparation to figure out how to apply ML, man-made consciousness (AI), and profound learning (DL) to their organizations opening new bits of knowledge and worth. Approve your long stretches of experience building, preparing, tuning, and conveying ML models utilizing the AWS Cloud with an AWS Certification.
Learn More
Machine Learning: Business Decision Maker
This way is intended for business people and group pioneers keen on utilizing AI (ML), man-made consciousness (AI), and profound learning (DI) to recognize development methodologies for their association. Figure out how these advancements will convey business esteem as a component of a bigger computerized change in progress in your business.
AWS has the broadest and deepest set of machine learning and AI services for your business.
In the interest of our clients, we are centered around settling the absolute hardest difficulties that keep down AI from being in the hands of each designer.
You can browse pre-prepared AI administrations for PC vision, language, proposals, and anticipating; Amazon SageMaker to rapidly fabricate, prepare and send AI models at scale; or construct custom models with help for all the well known open-source systems.
Our abilities are based on the most far reaching cloud stage, upgraded for AI with elite figure, and no trade offs on security and investigation.
Machine learning solutions in AWS Marketplace
Seller solutions in AWS Marketplace, along with Amazon Machine Learning services, can help you simplify data experimentation, formulate deeper insights from disparate sources across your data estate, and foster new levels of productivity and efficiency for an unlimited number of use cases. AWS Marketplace is a digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS.
Related Courses – Learn Online Now
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Recommended Training
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Recommended Training
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX
DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Course Objectives
In this course, you will learn to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Certified DevOps Engineer – Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
Recommended Knowledge and Experience
- Experience developing code in at least one high-level programming language
- Experience building highly automated infrastructures
- Experience administering operating systems
- Understanding of modern development and operations processes and methodologies
Things To Become DevOps Engineer
Related Courses – Learn Online Now
AWS Cloud Developer Training Course – Exam 4504
AWS Training – AWS Certified Solutions Architect – Associate + Professional (2 in 1)
Docker Training (DevOps) with Kubernetes and Swarm
Mastering Python – Machine Learning Training Course
CompTIA Cyber Security Analyst (CySA+) Certification
CCNA Routing & Switching Certification
Data Sciences Specialization Course
Ethical Hacking Certification Training Course | with KALI LINUX